Regression results of probit model
| Explanatory variables | Model 1 | Model 2 | Model 3 | Model 4 |
|---|---|---|---|---|
| Gender | 0.1745 (1.5576) | 0.1600 (1.4305) | 0.1123 (0.9904) | 0.1414 (1.2146) |
| Age | 0.0138 (1.4216) | 0.0097 (0.9324) | 0.0139 (1.3315) | 0.0086 (0.7632) |
| Years of education | 0.0319** (2.0606) | 0.0326** (2.0989) | 0.0323** (2.0204) | 0.0326** (2.0788) |
| Year of farming | −0.0235** (2.4706) | −0.0179* (1.8230) | −0.0196* (1.9598) | −0.0209** (2.2391) |
| Family size | 0.0570 (1.4783) | 0.0424 (1.1251) | 0.0250 (0.6348) | 0.0365 (0.9156) |
| Degree of arable land fragmentation | 0.0238** (2.2367) | 0.0222** (2.1049) | 0.0191* (1.8238) | 0.0186* (1.7046) |
| Land management scale | −0.0040 (0.9524) | −0.0035 (0.8535) | −0.0016 (0.4043) | −0.0010 (0.2522) |
| Distance from home to market | 0.0177* (1.6606) | 0.0199* (1.9119) | 0.0193* (1.7052) | 0.0199* (1.7760) |
| Water price | 0.1167** (2.3946) | 0.1082** (2.2819) | 0.1005** (1.9892) | 0.0922* (1.7969) |
| Drought shock | −0.1260*** (2.9130) | −0.1483*** (3.3516) | −0.1352*** (2.9659) | |
| Family labor security | 0.1730** (2.3977) | 0.1614** (2.1866) | ||
| Kinship support | 0.1244** (2.5738) | 0.1280*** (2.6268) | ||
| Neighborhood assistance | 0.1822** (2.5286) | 0.1441** (1.9630) | ||
| purchase insurance | 0.2570** (2.2561) | 0.2648** (2.3132) | ||
| Bank loan | 0.2382** (2.0561) | 0.3148*** (2.6708) | ||
| Household labor security × drought damage | 0.0672* (1.7849) | |||
| Relatives support × drought damage | 0.1144** (2.1413) | |||
| Neighborhood assistance × drought damage | −0.0203 (0.3297) | |||
| Purchase insurance × drought damage | −0.1136** (2.0206) | |||
| Bank loan × drought damage | −0.0251 (0.4056) | |||
| Log-likelihood value | −417.0835 | −416.6235 | −392.7661 | −381.2915 |
| Wald’s χ2 test | 36.16 | 37.21 | 80.94 | 103.31 |
| p-value (prob > χ2) | 0.0001 | 0.0000 | 0.0000 | 0.0000 |
| Pseudo R2 | 0.0509 | 0.0905 | 0.1052 | 0.1314 |
| Explanatory variables | Model 1 | Model 2 | Model 3 | Model 4 |
|---|---|---|---|---|
| Gender | 0.1745 (1.5576) | 0.1600 (1.4305) | 0.1123 (0.9904) | 0.1414 (1.2146) |
| Age | 0.0138 (1.4216) | 0.0097 (0.9324) | 0.0139 (1.3315) | 0.0086 (0.7632) |
| Years of education | 0.0319 | 0.0326 | 0.0323 | 0.0326 |
| Year of farming | −0.0235 | −0.0179 | −0.0196 | −0.0209 |
| Family size | 0.0570 (1.4783) | 0.0424 (1.1251) | 0.0250 (0.6348) | 0.0365 (0.9156) |
| Degree of arable land fragmentation | 0.0238 | 0.0222 | 0.0191 | 0.0186 |
| Land management scale | −0.0040 (0.9524) | −0.0035 (0.8535) | −0.0016 (0.4043) | −0.0010 (0.2522) |
| Distance from home to market | 0.0177 | 0.0199 | 0.0193 | 0.0199 |
| Water price | 0.1167 | 0.1082 | 0.1005 | 0.0922 |
| Drought shock | −0.1260 | −0.1483 | −0.1352 | |
| Family labor security | 0.1730 | 0.1614 | ||
| Kinship support | 0.1244 | 0.1280 | ||
| Neighborhood assistance | 0.1822 | 0.1441 | ||
| purchase insurance | 0.2570 | 0.2648 | ||
| Bank loan | 0.2382 | 0.3148 | ||
| Household labor security × drought damage | 0.0672 | |||
| Relatives support × drought damage | 0.1144 | |||
| Neighborhood assistance × drought damage | −0.0203 (0.3297) | |||
| Purchase insurance × drought damage | −0.1136 | |||
| Bank loan × drought damage | −0.0251 (0.4056) | |||
| Log-likelihood value | −417.0835 | −416.6235 | −392.7661 | −381.2915 |
| Wald’s | 36.16 | 37.21 | 80.94 | 103.31 |
| 0.0001 | 0.0000 | 0.0000 | 0.0000 | |
| Pseudo | 0.0509 | 0.0905 | 0.1052 | 0.1314 |
Notes:
*, ** and *** indicate the significance level of 10, 5 and 1%, respectively, and the value in parentheses is the z-value
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